Abstract
Clinical Information Systems (CIS) have become a pivotal appliance in modern healthcare systems. Their adoption and increasing integration is driven by expectations related to better health outcomes and cost effectiveness. In practice, however, a lack of data quality (DQ) is often referred to as a significant inhibitor, impeding the full realization of these benefits. Although many authors have reported on DQ related problems, attaining and sustaining DQ in CIS has been a multi-faceted and elusive goal. The current literature on DQ in health informatics consists mainly of empirical studies and practitioners’ reports. Reports often focus on a particular issue or quality attribute but lack a holistic approach to addressing DQ ‘by-design’. This paper seeks to present a general framework for clinical DQ, which blends engineering theories with concepts and methods from health informatics. We define a new architectural viewpoint for designing and reasoning about DQ in CIS. We also introduce the notion of DQ Probes for monitoring and assuring DQ during system operation. Finally, we validate our framework with a real-world application case study.
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References
Weiskopf, N.G., Weng, C.: Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. J. Am. Med. Inform. Assoc. 20(1), 144–151 (2013)
Dick, R.S., Steen, E.B., Detmer, D.E., et al.: The Computer-Based Patient Record: An Essential Technology for Health Care. National Academies Press, Washington, DC (1997)
Bronnert, J., Clark, J.S., Cassidy, B.S., Fenton, S., Hyde, L., Kallem, C., Watzlaf, V.: Data quality management model (updated). J. AHIMA 83(7), 62–67 (2012)
Mettler, T., Rohner, P., Baacke, L.: Improving data quality of health information systems: a holistic design-oriented approach. In: Proceedings of European Conference on Information Systems, Galway, Ireland (2008)
Weber-Jahnke, J.H., Price, M., Williams, J.: Software engineering in health care: Is it really different? and how to gain impact. In: 2013 5th International Workshop on Software Engineering in Health Care (SEHC), pp. 1–4 (2013)
Bass, L., Clements, P., Kazman, R.: Software Architecture in Practice. Addison-Wesley Professional, Boston (2003)
Meyer, B.: Design by contract and the component revolution. In: International Conference on Technology of Object-Oriented Languages, pp. 515–515 (2000)
Giokas, D.: Canada health infoway - towards a national interoperable electronic health record (EHR) solution. In: Studies in Health Technology and Information, pp. 108–140 (2005)
Price, M., Weber, J., McCallum, G.: SCOOP – the social collaboratory for outcome oriented primary care. In: Proceedings of IEEE International Conference on Healthcare Informatics (ICHI), p. 6. IEEE Computer Society, Verona (2014)
Weber-Jahnke, J.H.: A preliminary study of apparent causes and outcomes of reported failures with patient management software. In: Proceedings of 3rd International Workshop on Software Engineering in Health Care (SEHC), Co-Located with ICSE. ACM Press (2011)
Ferrell, C.W., Aspy, C.B., Mold, J.W.: Management of prescription refills in primary care: an Oklahoma physicians resource/research network (OKPRN) study. J. Am. Board Fam. Med. 19(1), 31–38 (2006)
Clyne, B., Bradley, M.C., Hughes, C.M., Clear, D., McDonnell, R., Williams, D., Fahey, T., Smith, S.M.: Addressing potentially inappropriate prescribing in older patients: development and pilot study of an intervention in primary care (the OPTI-SCRIPT study). BMC Health Serv. Res. 13(1), 1–12 (2013)
Ruttan, J.: OSCAR. In: The Architecture of Open Source Applications, vol. II: Structure, Scale and a Few More Fearless Hacks (2012)
Weber, J.H., Cleve, A., Meurice, L., Ruiz, F.J.B.: Managing technical debt in database schemas of critical software. In: Sixth International Workshop on Managing Technical Debt (MTD), pp. 43–46. IEEE (2014)
Balzer, R.: Tolerating inconsistency [software development]. In: Proceedings of the 13th International Conference on Software Engineering, pp. 158–165. IEEE (1991)
Gallagher, P., O’Mahony, D.: STOPP (Screening Tool of Older Persons’ potentially inappropriate Prescriptions): application to acutely ill elderly patients and comparison with Beers’ criteria. Age Ageing 37(6), 673–679 (2008)
Diamond, C.C., Shirky, C., Mostashari, F.: Collecting and sharing data for population health: a new paradigm. In: Health Aff. (Millwood), March 2009
Shankaranarayanan, G., Wang, R.Y., Ziad, M: IP-MAP: representing the manufacture of an information product. In: Proceedings of Information Quality, pp. 1–16 (2000)
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Weber, J.H., Price, M., Davies, I. (2015). Data Quality by Contract – Towards an Architectural View for Data Quality in Health Information Systems. In: Riaño, D., Lenz, R., Miksch, S., Peleg, M., Reichert, M., ten Teije, A. (eds) Knowledge Representation for Health Care. AIME 2015. Lecture Notes in Computer Science(), vol 9485. Springer, Cham. https://doi.org/10.1007/978-3-319-26585-8_10
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DOI: https://doi.org/10.1007/978-3-319-26585-8_10
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